首页> 外文会议>2018 3rd International Conference on Computer and Communication Systems >Measurement of Air-Ground link over Virtual Forces Algorithm For Autonomous Aerial Drone Systems, VBCA
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Measurement of Air-Ground link over Virtual Forces Algorithm For Autonomous Aerial Drone Systems, VBCA

机译:VBCA基于虚拟力算法的空中地面链接的测量

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With recent technological advances, the capabilities of UAVs have rapidly increased and their use and role in society have also changed from the military to the civilian domain. Many studies have been made for the collaboration of several UVAS to accomplish a mission. But most of the studies done on the subject of FANET do not propose any overall approach to the network itself and remain fragmented, generally based on the final mission. The solutions proposed are not reproducible on other missions. This aspect pushes us to propose a solution independent of the mission and easily reproducible. Otherwise the positioning of nodes in FANETs can provide a mission-independent response. Reason why the solutions for positioning network nodes are numerous. One in particular offers a comprehensive and interesting approach. It is VBCA. This method has the particularity of positioning the nodes in 3-D. In general, the 3-D positioning becomes an NP-Hard problem. But with VBCA positioning is relatively simple. In this paper we present an optimization of communication in a topology based on the VBCA (Virtual forces Based Clustering Algorithm). The topology is optimized by the VBCA algorithm for a better coverage area. This method is 40% more efficient than existing approaches in terms of area coverage. In the first versions of VBCA, the performances in terms of communication between nodes have not been tested. The resulting network performances are very encouraging, in terms of throughput, delay, packets loss and signal strength. Therefore, this work provides a first answer to the performances in terms of network.
机译:随着最新技术的进步,无人机的能力迅速提高,其在社会中的用途和作用也已从军事领域转变为民用领域。为完成几个UVAS的协作已经进行了许多研究。但是,有关FANET的大多数研究并未提出对网络本身的任何总体方法,并且通常以最终任务为基础,它们仍然是分散的。提出的解决方案在其他特派团无法复制。这方面促使我们提出一种与任务无关且易于复制的解决方案。否则,FANET中节点的定位可以提供与任务无关的响应。定位网络节点的解决方案众多的原因。特别是提供了一种全面而有趣的方法。是VBCA。该方法具有在3-D中定位节点的特殊性。通常,3-D定位成为NP-Hard问题。但是用VBCA定位相对简单。在本文中,我们提出了基于VBCA(基于虚拟力的聚类算法)的拓扑结构中的通信优化。通过VBCA算法对拓扑进行了优化,以实现更好的覆盖范围。就区域覆盖而言,该方法比现有方法的效率高40%。在VBCA的第一个版本中,尚未测试节点之间的通信性能。就吞吐量,延迟,数据包丢失和信号强度而言,所得的网络性能令人鼓舞。因此,这项工作为网络方面的性能提供了第一个答案。

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